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High Tech Series A Founded 2014

Teraki

Teraki provides an AI-enabled edge processing platform for the automotive industry. It offers embedded software that works as an enabler for current and future IoT/M2M applications. It claims that its solutions reduce the amount of data generated by sensors by up to a factor 10 without compromising its quality. The solution enables the applications to pre-process the sensor data for better decision making. The…

📍 Berlin, Germany · Edge Computing,

Funding snapshot

Last roundSeries A
Amount$16M
Date3 January 2023
Total raised$16M
Team size9

About

Teraki provides an AI-enabled edge processing platform for the automotive industry. It offers embedded software that works as an enabler for current and future IoT/M2M applications. It claims that its solutions reduce the amount of data generated by sensors by up to a factor 10 without compromising its quality. The solution enables the applications to pre-process the sensor data for better decision making. The company operates in the Edge Computing sector with additional focus on Edge Computing and AI Infrastructure. Its business model centers on Edge AI Processors. Founded in 2014, headquartered in Berlin, Germany. The company has raised $16.3M at the Series A stage. Backed by investors including Hubraum, Horizons Ventures, innogy.ventures, Paladin Capital, Rev1 Ventures and others.

Business model

Edge Computing > Edge AI Processors,

AI Infrastructure > Enabling Technologies > Hardware > Processors > Edge Processors,

Internet First Insurance Platforms > Internet First Insurers > P&C > IT > Cyber,

Insurance IT > Data and Monitoring Solutions > Usage-based > Property & Casualty > Auto,

Auto E-Commerce & Content > Insurance > Internet First Insurer > Usage Based

Institutional investors

Hubraum Horizons Ventures innogy.ventures Paladin Capital Rev1 Ventures Bright Success Capital Alumni Ventures EIC Fund Technical University of Berlin American Family Ventures GPS Ventures Europa Renew Capital Vireo Ventures State Auto Labs

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